Nate Coraor

8.8k total citations · 2 hit papers
13 papers, 4.2k citations indexed

About

Nate Coraor is a scholar working on Information Systems and Management, Molecular Biology and Information Systems. According to data from OpenAlex, Nate Coraor has authored 13 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems and Management, 8 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Nate Coraor's work include Scientific Computing and Data Management (10 papers), Research Data Management Practices (5 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Nate Coraor is often cited by papers focused on Scientific Computing and Data Management (10 papers), Research Data Management Practices (5 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Nate Coraor collaborates with scholars based in United States, Germany and United Kingdom. Nate Coraor's co-authors include Anton Nekrutenko, James Taylor, Dannon Baker, Enis Afgan, Daniel Blankenberg, John Chilton, Björn Grüning, Dave Bouvier, Marius van den Beek and Aysam Guerler and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS Pathogens.

In The Last Decade

Nate Coraor

12 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

2018 2.4k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

2016 1.5k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nate Coraor	2.5k	594	549	460	313	13	4.2k
Dannon Baker	2.6k 1.0×	605 1.0×	555 1.0×	465 1.0×	323 1.0×	12	4.2k
Marius van den Beek	2.6k 1.0×	664 1.1×	559 1.0×	469 1.0×	248 0.8×	21	4.2k
John Chilton	3.0k 1.2×	673 1.1×	600 1.1×	499 1.1×	330 1.1×	21	5.0k
Nicola Soranzo	2.9k 1.1×	683 1.1×	650 1.2×	512 1.1×	262 0.8×	24	4.7k
Dave Bouvier	2.7k 1.1×	658 1.1×	624 1.1×	555 1.2×	238 0.8×	9	4.5k
Jennifer Hillman‐Jackson	2.5k 1.0×	587 1.0×	538 1.0×	457 1.0×	201 0.6×	7	4.0k
Dave Clements	2.7k 1.1×	656 1.1×	591 1.1×	519 1.1×	229 0.7×	22	4.5k
Aysam Guerler	2.6k 1.0×	582 1.0×	541 1.0×	450 1.0×	195 0.6×	14	4.1k
Martin Čech	2.4k 0.9×	580 1.0×	539 1.0×	438 1.0×	199 0.6×	18	4.0k
Enis Afgan	3.0k 1.2×	684 1.2×	631 1.1×	541 1.2×	473 1.5×	52	5.1k

Countries citing papers authored by Nate Coraor

Since Specialization

Citations

This map shows the geographic impact of Nate Coraor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nate Coraor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nate Coraor more than expected).

Fields of papers citing papers by Nate Coraor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nate Coraor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nate Coraor. The network helps show where Nate Coraor may publish in the future.

Co-authorship network of co-authors of Nate Coraor

This figure shows the co-authorship network connecting the top 25 collaborators of Nate Coraor. A scholar is included among the top collaborators of Nate Coraor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nate Coraor. Nate Coraor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Guerler, Aysam, Dannon Baker, Marius van den Beek, et al.. (2023). Fast and accurate genome-wide predictions and structural modeling of protein–protein interactions using Galaxy. BMC Bioinformatics. 24(1). 263–263. 1 indexed citations

Rasche, Helena, Cameron Hyde, Simon Gladman, et al.. (2022). Training Infrastructure as a Service. GigaScience. 12. 1 indexed citations

Gunasekaran, Jashwant Raj, Mahmut Kandemir, Anton Nekrutenko, et al.. (2021). GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping. FreiDok plus (Universitätsbibliothek Freiburg). 194–203. 1 indexed citations

Baker, Dannon, Marius van den Beek, Daniel Blankenberg, et al.. (2020). No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics. PLoS Pathogens. 16(8). e1008643–e1008643. 17 indexed citations

Coraor, Nate, et al.. (2019). Predicting runtimes of bioinformatics tools based on historical data: five years of Galaxy usage. Bioinformatics. 35(18). 3453–3460. 12 indexed citations

Afgan, Enis, Dannon Baker, Bérénice Batut, et al.. (2018). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Research. 46(W1). W537–W544. 2447 indexed citations breakdown →

Grüning, Björn, Boris Rebolledo‐Jaramillo, Carl Eberhard, et al.. (2017). Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers. PLoS Computational Biology. 13(5). e1005425–e1005425. 51 indexed citations

Afgan, Enis, Dannon Baker, Marius van den Beek, et al.. (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 44(W1). W3–W10. 1463 indexed citations breakdown →

Afgan, Enis, et al.. (2015). Enabling cloud bursting for life sciences within Galaxy. Concurrency and Computation Practice and Experience. 27(16). 4330–4343. 6 indexed citations

10.

Afgan, Enis, Dannon Baker, John Chilton, Nate Coraor, & James Taylor. (2014). Galaxy Cluster to Cloud - Genomics at Scale. 47–50. 4 indexed citations

11.

Taylor, James, Anton Nekrutenko, Nate Coraor, et al.. (2013). A sustainable national gateway for biological computation. 1–3. 1 indexed citations

12.

Blankenberg, Daniel, et al.. (2011). Integrating diverse databases into an unified analysis framework: a Galaxy approach. Database. 2011(0). bar011–bar011. 42 indexed citations

13.

Afgan, Enis, Dannon Baker, Nate Coraor, et al.. (2010). Galaxy CloudMan: delivering cloud compute clusters. BMC Bioinformatics. 11(S12). S4–S4. 124 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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